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Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks

Author

Listed:
  • Vinay Rishiwal

    (MJP Rohilkhand University, Bareilly, India)

  • Preeti Yadav

    (MJP Rohilkhand University, Bareilly, India)

  • Omkar Singh

    (Bareilly College, Bareilly, India)

  • B. G. Prasad

    (B.M.S. College of Engineering, India)

Abstract

In recent era of IoT, energy ingesting by sensor nodes in Wireless Sensor Networks (WSN) is one of the key challenges. It is decisive to diminish energy ingesting due to restricted battery lifespan of sensor nodes, Objective of this research is to develop efficient routing protocol/algorithm in IoT based scenario to enhance network performance with QoS parameters. Therefore, keeping this objective in mind, a QoS based Optimized Energy Clustering Routing (QOECR) protocol for IoT based WSN is proposed and evaluated. QOECR discovers optimal path for sink node and provides better selection for sub-sink nodes. Simulation has been done in MATLAB to assess the performance of QOECR with pre-existing routing protocols. Simulation outcomes represent that QOECR reduces E2E delay 30%-35%, enhances throughput 25%-30%, minimizes energy consumption 35%-40%, minimizes packet loss 28%-32%, improves PDR and prolongs network lifetime 32%-38% than CBCCP, HCSM and ZEAL routing protocols.

Suggested Citation

  • Vinay Rishiwal & Preeti Yadav & Omkar Singh & B. G. Prasad, 2021. "Optimizing Energy Consumption in IoT-Based Scalable Wireless Sensor Networks," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 10(4), pages 1-20, October.
  • Handle: RePEc:igg:jsda00:v:10:y:2021:i:4:p:1-20
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    References listed on IDEAS

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    1. Brian J. Galli, 2020. "Continuous Technological Improvement Using Systems Engineering Principles to Achieve Sustainability: An Investigation Into Related Literature," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 9(3), pages 1-25, July.
    2. Khalid Haseeb & Ahmad Almogren & Naveed Islam & Ikram Ud Din & Zahoor Jan, 2019. "An Energy-Efficient and Secure Routing Protocol for Intrusion Avoidance in IoT-Based WSN," Energies, MDPI, vol. 12(21), pages 1-18, November.
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    Cited by:

    1. R. Reka & A. Manikandan & C. Venkataramanan & R. Madanachitran, 2023. "An energy efficient clustering with enhanced chicken swarm optimization algorithm with adaptive position routing protocol in mobile adhoc network," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 84(2), pages 183-202, October.

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